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Clustering with Relational Constraint

Published online by Cambridge University Press:  01 January 2025

Anuška Ferligoj  and
Vladimir Batagelj
Anuška Ferligoj*
Affiliation:
University Edvard Kardelj
Vladimir Batagelj
Affiliation:
University Edvard Kardelj
*
Requests for reprints should be sent to: Anuška Ferligoj, Faculty of Sociology, Political Sciences and Journalism, University Edvard Kardelj, Kardeljeva ploščad 5, 61000 Ljubljana, Yugoslavia.
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Abstract

The paper deals with clustering problems where grouping is constrained by a symmetric and reflexive relation. For solving clustering problems with relational constraints two methods are adapted: the “standard” hierarchical clustering procedure based on the Lance and Williams formula, and local optimization procedure, CLUDIA. To illustrate these procedures, clusterings of the European countries are given based on the developmental indicators where the relation is determined by the geographical neighbourhoods of countries.

Keywords

optimization approach to clustering

Information

Type
Original Paper
Information
Psychometrika , Volume 47 , Issue 4 , December 1982 , pp. 413 - 426
Copyright
Copyright © 1982 The Psychometric Society

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Footnotes

Extended version of the paper presented at the European meeting of the Psychometric Society, Groningen, June, 19-21, 1980.

This work was supported in part by the Boris Kidrič Fund, Yugoslavia.

References

Reference Notes

Batagelj, V. Clustering—basic notions. Seminar for numerical mathematics and computer science, 156. Ljubljana: DMFA SRS, 1979 (in Slovene).Google Scholar
Ferligoj, A., & Batagelj, V. Clustering methods in the social sciences. (report), 1980, Ljubljana: RIFSPN (in Solvene)Google Scholar
Batagelj, V. CLUSE. (manual). Ljubljana, 1980.Google Scholar
Perruchet, C. Classification sous contrainte de contiguité continue (Application aux sciences de la terre). Thesis. Paris: 1979 (in French).Google Scholar

References

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